Evidence map›Paper›PMID 37736513›Full record

ArticleIranian journal of basic medical sciences2023

Evaluation of the expression profile of mRNAs and lncRNAs in cumulus cells associated with polycystic ovary syndrome and pregnancy.

Behnaz Hammami, Fatemeh Sadat Mostafavi, Ali Akbari, Seyyed Reza Mousavi, Mohammad Kazemi

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Behnaz HammamiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran.
Fatemeh Sadat MostafaviDepartment of Anatomical Sciences, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran.
Ali AkbariDepartment of Anatomical Sciences, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran.
Seyyed Reza MousaviCellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad KazemiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran.
University of Isfahan · IRIsfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Polycystic ovary syndrome (PCOS), the primary cause of anovulatory infertility in women, may change the gene expression profile of cumulus cells. In human ART (assisted reproductive technology), gene expression profiling in cumulus cells, a non-invasive method, may be used to identify the most competent oocytes. We aim to identify key genes according to the network-based data and assess the suitability of these genes as markers to predict oocyte competence and PCOS diagnosis. Materials and Methods: The GSE34526 microarray dataset was obtained from the Gene Expression Omnibus (GEO) database. The function and pathway enrichment analysis for DEGs were analyzed. A protein-protein interaction (PPI) network analysis and candidate gene screening were conducted. A two-layer network consisting of mRNA and lncRNA was constructed. Expression levels of hub genes were verified using quantitative RT-PCR (qRT-PCR). Results: A total of 2721 DEGs were retained. The PPI network of selected genes associated with the biological process of "cell communication" was analyzed, and the first 10 key genes were determined by degree. Additionally, 2 hub genes and 2 hub lncRNAs, including Conclusion:

Indexed as

Cumulus cellsInfertilityLong non-coding RNAPolycystic ovary syndromeSystems biology

Identifiers

PMID37736513
PMCPMC10510482
OpenAlexW4386944746

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.